Robust stability analysis of fuzzy cohen-grossberg neural networks with mixed time-varying delay

Authors:
Yougang Wang;Deyou Liu
Affiliations:
College of Science, Yanshan University, Qinhuangdao, China;College of Science, Yanshan University, Qinhuangdao, China
Venue:
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Year:
2012

Citing 5
Cited 0

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Abstract

In this paper, based on the ideas of T-S fuzzy, the T-S fuzzy Cohen-Grossberg neural network model with mixed time-varying is presented. By using Lyapunov functional approach, some sufficient conditions are obtained to guarantee the T-S fuzzy Cohen-Grossberg neural networks to be globally asymptotically stable for all admissible parametric uncertainties. A numerical example is provided to illustrate the usefulness of the theoretical result.